Code Audit
3stoneBrother/code-audit
Professional code security audit skill covering 55+ vulnerability types.
Agent skill
Detects fileless malware and in-memory attacks that execute entirely in RAM without writing persistent files to disk, evading traditional antivirus.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-fileless-attacks-on-endpoints -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-fileless-attacks-on-endpoints --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/detecting-fileless-attacks-on-endpoints .claude/skills/detecting-fileless-attacks-on-endpoints && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "detecting-fileless-attacks-on-endpoints" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-fileless-attacks-on-endpoints into .claude/skills/detecting-fileless-attacks-on-endpoints/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-fileless-attacks-on-endpoints", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-fileless-attacks-on-endpointsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-fileless-attacks-on-endpoints -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-fileless-attacks-on-endpoints --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/detecting-fileless-attacks-on-endpoints .agents/skills/detecting-fileless-attacks-on-endpoints && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "detecting-fileless-attacks-on-endpoints" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-fileless-attacks-on-endpoints into .agents/skills/detecting-fileless-attacks-on-endpoints/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-fileless-attacks-on-endpoints", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-fileless-attacks-on-endpoints -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-fileless-attacks-on-endpoints --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/detecting-fileless-attacks-on-endpoints .cursor/skills/detecting-fileless-attacks-on-endpoints && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "detecting-fileless-attacks-on-endpoints" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-fileless-attacks-on-endpoints into .cursor/skills/detecting-fileless-attacks-on-endpoints/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-fileless-attacks-on-endpoints", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git --path skills/detecting-fileless-attacks-on-endpoints--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-fileless-attacks-on-endpoints -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-fileless-attacks-on-endpoints --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/detecting-fileless-attacks-on-endpoints .gemini/skills/detecting-fileless-attacks-on-endpoints && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "detecting-fileless-attacks-on-endpoints" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-fileless-attacks-on-endpoints into .gemini/skills/detecting-fileless-attacks-on-endpoints/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-fileless-attacks-on-endpoints", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-fileless-attacks-on-endpointsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-fileless-attacks-on-endpoints -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/detecting-fileless-attacks-on-endpoints .github/skills/detecting-fileless-attacks-on-endpoints && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "detecting-fileless-attacks-on-endpoints" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-fileless-attacks-on-endpoints into .github/skills/detecting-fileless-attacks-on-endpoints/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-fileless-attacks-on-endpoints", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-fileless-attacks-on-endpoints -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-fileless-attacks-on-endpoints --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/detecting-fileless-attacks-on-endpoints .opencode/skills/detecting-fileless-attacks-on-endpoints && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "detecting-fileless-attacks-on-endpoints" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-fileless-attacks-on-endpoints into .opencode/skills/detecting-fileless-attacks-on-endpoints/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-fileless-attacks-on-endpoints", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
detecting-fileless-attacks-on-endpointsDetects fileless malware and in-memory attacks that execute entirely in RAM without writing persistent files to disk, evading traditional antivirus.
Detecting Fileless Attacks On Endpoints is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Detects fileless malware and in-memory attacks that execute entirely in RAM without writing persistent files to disk, evading traditional antivirus. Use when building detections for PowerShell-based attacks, reflective DLL injection, WMI persistence, and registry-resident malware. Activates for requests involving fileless malware detection, in-memory attacks, PowerShell exploitation, or living-off-the-land techniques.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `assets/template.md`, `references/api-reference.md` and `references/standards.md`).
It sits in Security, covering Penetration testing. It works with PowerShell. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 2 files in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Detecting Fileless Attacks On Endpoints loads about 1.8k tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 115 tokens; SKILL.md has 321 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 321 words, ~1,776 tokens.
.claude/skills/detecting-fileless-attacks-on-endpoints/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.Use this skill when:
Do not use for detecting file-based malware or for malware reverse engineering.
# Enable PowerShell Script Block Logging (GPO or registry)
New-ItemProperty -Path "HKLM:\SOFTWARE\Policies\Microsoft\Windows\PowerShell\ScriptBlockLogging" `
-Name EnableScriptBlockLogging -Value 1 -PropertyType DWORD -Force
# Enable PowerShell Module Logging
New-ItemProperty -Path "HKLM:\SOFTWARE\Policies\Microsoft\Windows\PowerShell\ModuleLogging" `
-Name EnableModuleLogging -Value 1 -PropertyType DWORD -Force
# Enable PowerShell Transcription
New-ItemProperty -Path "HKLM:\SOFTWARE\Policies\Microsoft\Windows\PowerShell\Transcription" `
-Name EnableTranscripting -Value 1 -PropertyType DWORD -Force
# Sysmon config for fileless detection (key events):
# Event ID 1: Process creation (captures CommandLine)
# Event ID 7: Image loaded (DLL loading)
# Event ID 8: CreateRemoteThread (injection)
# Event ID 10: Process access (LSASS access)
# Event ID 19/20/21: WMI events# Indicators of malicious PowerShell:
# Encoded command execution
EventID: 1
CommandLine contains: "powershell" AND ("-enc" OR "-e " OR "-encodedcommand" OR "FromBase64String")
# Download cradle patterns
CommandLine contains: "IEX" AND ("Net.WebClient" OR "DownloadString" OR "Invoke-WebRequest")
CommandLine contains: "Invoke-Expression" AND "New-Object"
# AMSI bypass attempts (Event ID 4104 - Script Block)
ScriptBlock contains: ("Amsi"+"Utils") OR ("amsi"+"InitFailed") OR "SetValue.*amsi"
# Splunk query for suspicious PowerShell:
index=windows source="WinEventLog:Microsoft-Windows-PowerShell/Operational" EventCode=4104
| where match(ScriptBlockText, "(?i)(iex|invoke-expression|downloadstring|net\.webclient|frombase64|bypass|amsi.utils)")
| table _time host ScriptBlockText# Reflective DLL injection - loads DLL from memory without touching disk
# Detection: Sysmon Event 7 (ImageLoaded) where image path is unusual
EventID: 7
ImageLoaded NOT starts with: "C:\Windows\" AND NOT starts with: "C:\Program Files"
# Process hollowing - creates process in suspended state, replaces memory
# Detection: Process creation followed by immediate memory write
EventID: 1 + 10 correlation
# Process created then accessed with PROCESS_VM_WRITE
# APC injection - queues code to thread's async procedure call queue
# Detection: Sysmon CreateRemoteThread from non-system process
EventID: 8
SourceImage NOT IN (known_legitimate_sources)
# MDE KQL:
DeviceEvents
| where ActionType in ("CreateRemoteThreadApiCall", "NtAllocateVirtualMemoryApiCall")
| where InitiatingProcessFileName !in ("MsMpEng.exe", "svchost.exe")
| project Timestamp, DeviceName, ActionType, InitiatingProcessFileName,
InitiatingProcessCommandLine, FileName# Sysmon Event IDs 19/20/21 for WMI events
EventID: 19 # WmiEventFilter activity detected
EventID: 20 # WmiEventConsumer activity detected
EventID: 21 # WmiEventConsumerToFilter activity detected
# Any WMI event subscription creation is suspicious unless expected
# Common malicious WMI persistence:
Consumer contains: "CommandLineEventConsumer" OR "ActiveScriptEventConsumer"
# Query for WMI subscriptions via osquery or PowerShell:
Get-WMIObject -Namespace root\Subscription -Class __EventFilter
Get-WMIObject -Namespace root\Subscription -Class __EventConsumer
Get-WMIObject -Namespace root\Subscription -Class __FilterToConsumerBinding# Malware stored in registry values and executed via PowerShell
# Sysmon Event 13 - Registry value set with encoded content
EventID: 13
TargetObject contains: "CurrentVersion\Run"
Details: unusually long value or Base64-encoded content
# Detection query:
index=sysmon EventCode=13
| where match(Details, "[A-Za-z0-9+/=]{100,}")
| table _time host TargetObject Details Image| Term | Definition |
|---|---|
| Fileless Malware | Malware that operates entirely in memory without writing executable files to disk |
| AMSI | Antimalware Scan Interface; Windows API allowing security products to inspect script content before execution |
| Reflective DLL Injection | Loading a DLL from memory rather than disk, avoiding file-based detection |
| Process Hollowing | Creating a legitimate process in suspended state and replacing its memory with malicious code |
| Script Block Logging | PowerShell logging feature that captures deobfuscated script content (Event ID 4104) |
© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 7 other files (scripts, references, assets) in skills/detecting-fileless-attacks-on-endpoints of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Detecting Fileless Attacks On Endpoints next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Detecting Fileless Attacks On Endpoints this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Code Audit3stoneBrother/code-audit | 892 | 1 repos | ~2.7k | Automated safety check: Pass | None | |
| Fix Strix Security Findingsusestrix/strix | 67k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Add Community Skillsamugit83/redamon | 3k | — | ~775 | Automated safety check: Pass | MIT | |
| Add Partial Reconsamugit83/redamon | 3k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Hf Cloud Sagemaker Iam Preflightwaybarrios/opencode-power-pack | 533 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 |
3stoneBrother/code-audit
Professional code security audit skill covering 55+ vulnerability types.
usestrix/strix
Triages findings from a Strix pentest by severity, fixes each root cause with a minimal change, and re-runs Strix to confirm the exploit no longer works.
samugit83/redamon
Adding a Community Agent Skill: a Markdown attack-workflow file that users import from the catalog, which then competes in the Intent Router and is injected into the agent's system prompt.
samugit83/redamon
Adding partial-recon support for a tool: running a single pipeline phase on demand from the workflow graph, reading its inputs from the existing Neo4j graph and merging results back.
waybarrios/opencode-power-pack
Verify or select a SageMaker execution role before creating models, endpoints, or training jobs.
stijnswapped/Myrqen
Run an authorized, local-first application security assessment on the current project using this agent's own reasoning.
mukul975/Anthropic-Cybersecurity-Skills
Weighs infrastructure, TTP, malware code and timing evidence with the Diamond Model and competing hypotheses to reach a confidence-rated attribution.
mukul975/Anthropic-Cybersecurity-Skills
Walks through reverse engineering Go-compiled malware in Ghidra: parsing buildinfo and pclntab, recovering stripped function names and extracting dependencies.
mukul975/Anthropic-Cybersecurity-Skills
Guides forensic analysis of Windows LNK shortcut files and Jump Lists with LECmd, JLECmd and manual parsing to show file access and program execution.
mukul975/Anthropic-Cybersecurity-Skills
Hunts Windows malware persistence with Sysinternals Autoruns, covering run keys, services, scheduled tasks and drivers, with baseline comparison.
mukul975/Anthropic-Cybersecurity-Skills
Guides a Windows forensic examination of the NTFS Master File Table to recover deleted-file evidence, build timelines and spot timestomping.
mukul975/Anthropic-Cybersecurity-Skills
Detects DNS tunneling, ICMP exfiltration and HTTP-based covert channels in packet captures and DNS logs when hunting for hidden command-and-control traffic.
Works with
Categories
Detects fileless malware and in-memory attacks that execute entirely in RAM without writing persistent files to disk, evading traditional antivirus. Detecting Fileless Attacks On Endpoints is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Detects fileless malware and in-memory attacks that execute entirely in RAM without writing persistent files to disk, evading traditional antivirus.
Detecting Fileless Attacks On Endpoints fits situations like: building detections for PowerShell-based attacks; reflective DLL injection; WMI persistence; registry-resident malware.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-fileless-attacks-on-endpoints -a claude-code`. Or copy the skill folder (skills/detecting-fileless-attacks-on-endpoints in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/detecting-fileless-attacks-on-endpoints in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-fileless-attacks-on-endpoints -a codex`. Or copy the skill folder (skills/detecting-fileless-attacks-on-endpoints in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/detecting-fileless-attacks-on-endpoints in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-fileless-attacks-on-endpoints -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/detecting-fileless-attacks-on-endpoints, .gemini/skills/detecting-fileless-attacks-on-endpoints, .github/skills/detecting-fileless-attacks-on-endpoints and .opencode/skills/detecting-fileless-attacks-on-endpoints in your project.
Going by SKILL.md and its folder, Detecting Fileless Attacks On Endpoints needs Python for the scripts in its folder. Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Detecting Fileless Attacks On Endpoints is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.8k tokens (SKILL.md is roughly 7.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 684 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Detecting Fileless Attacks On Endpoints: Code Audit (3stoneBrother/code-audit, 892 stars), Fix Strix Security Findings (usestrix/strix, 67k stars), Add Community Skill (samugit83/redamon, 3k stars) and Add Partial Recon (samugit83/redamon, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 33,993 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.
Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.